Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Discovering Statistics Tables And Formula Card
Download Discovering Statistics Tables And Formula Card full books in PDF, epub, and Kindle. Read online Discovering Statistics Tables And Formula Card ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis CRC Standard Mathematical Tables and Formulae, 32nd Edition by : Daniel Zwillinger
Download or read book CRC Standard Mathematical Tables and Formulae, 32nd Edition written by Daniel Zwillinger and published by CRC Press. This book was released on 2011-06-22 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: With over 6,000 entries, CRC Standard Mathematical Tables and Formulae, 32nd Edition continues to provide essential formulas, tables, figures, and descriptions, including many diagrams, group tables, and integrals not available online. This new edition incorporates important topics that are unfamiliar to some readers, such as visual proofs and sequences, and illustrates how mathematical information is interpreted. Material is presented in a multisectional format, with each section containing a valuable collection of fundamental tabular and expository reference material. New to the 32nd Edition A new chapter on Mathematical Formulae from the Sciences that contains the most important formulae from a variety of fields, including acoustics, astrophysics, epidemiology, finance, statistical mechanics, and thermodynamics New material on contingency tables, estimators, process capability, runs test, and sample sizes New material on cellular automata, knot theory, music, quaternions, and rational trigonometry Updated and more streamlined tables Retaining the successful format of previous editions, this comprehensive handbook remains an invaluable reference for professionals and students in mathematical and scientific fields.
Book Synopsis Uncovering Student Thinking About Mathematics in the Common Core, High School by : Cheryl Rose Tobey
Download or read book Uncovering Student Thinking About Mathematics in the Common Core, High School written by Cheryl Rose Tobey and published by Corwin Press. This book was released on 2014-02-20 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovering Student Thinking About Mathematics in the Common Core, High School: 25 Formative Assessment Probes Cheryl Rose Tobey, Carolyn B. Arline "Not only does this book make strong connections to the CCSS, it provides a framework for teachers to improve their craft. Identifying student misconceptions is an extremely important aspect of assessment and this book provides a solid format to aid teachers." —Randy Wormald, Math Teacher Kearsarge Regional High School, Sutton, NH Take the guesswork out of high school math instruction! Helping your students master high school mathematics just got a whole lot easier! Bestselling authors Cheryl Rose Tobey and Carolyn B. Arline provide 25 detailed and grade-level specific assessment probes that promote deep learning and expert math instruction. Learn to ask the right questions to uncover where and how students commonly get confused. Focused on subconcepts within the new Common Core State Standards for Mathematics and organized by strand, the probes will help you foster new and accurate skills--while learning is underway. You’ll learn how to Quickly diagnose students’ common misconceptions and procedural mistakes Help students pinpoint areas of struggle Plan targeted instruction that builds on students’ current understandings while addressing difficulties with Algebra, Geometry,Functions, Logarithms, Statistics and Probability, Trigonometric Ratios, and more Elicit the skills and processes related to the Standards for Mathematical Practices You’ll find sample student responses, extensive Teacher Notes, and research-based tips and resources to help you instill new mathematical ideas. Includes the QUEST Cycle for effective, hands-on implementation. Now you can eliminate the guesswork once and for all and join thousands of busy high school teachers who’ve used these easy-to-implement tools to build solid math proficiency! Other Books From Corwin: 1. Tobey: Uncovering Student Thinking About Mathematics in the Common Core, Grades K–2, 978-1-4522-3003-0 2. Tobey: Uncovering Student Thinking About Mathematics in the Common Core, Grades 3-5, 978-1-4522-7024-1 3. Tobey: Uncovering Student Thinking About Mathematics in the Common Core, Grades 6-8, 978-1-4522-3088-7 Cheryl Rose Tobey is a Senior Mathematics Associate at Education Development Center (EDC). She is the implementation director for the Pathways to Mathematics Achievement Study and a mathematics specialist for the NSF-funded Formative Assessment in the Mathematics Classroom: Engaging Teachers and Students (FACETS) and Differentiated Professional Development: Building Mathematics Knowledge for Teaching Struggling Students (DPD) projects. She also serves as a project director for an Institute for Educational Science (IES) project, Eliciting Mathematics Misconceptions (EM2). Carolyn B. Arline is a secondary mathematics educator, currently teaching high school students in Maine. She also works as a teacher leader in the areas of mathematics professional development, learning communities, assessment, systematic school reform, standards-based teaching, learning and grading, student-centered classrooms, and technology. She has previously worked as a mathematics specialist at the Maine Mathematics and Science Alliance (MMSA) and continues her work with them as a consultant.
Book Synopsis Discovering Statistics by : Daniel T. Larose
Download or read book Discovering Statistics written by Daniel T. Larose and published by Macmillan Higher Education. This book was released on 2011-12-09 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discovering Statistics balances computational methods and data interpretation. By emphasizing the relevance of statistics in today’s world, Larose helps students think critically about statistics and develop their own statistical sense. The text offers high interest and relevant examples and exercises with a large variety of contemporary applications. This popular text includes a number of features to build critical thinking skills and emphasize active learning (an important recommendation in the GAISE guidelines). Student motivation remains the guiding principle of the Second Edition. It provides the topic coverage and innovative pedagogy that support teaching and learning objectives while capturing students’ attention through his friendly, conversational writing style.
Book Synopsis All of Statistics by : Larry Wasserman
Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Book Synopsis Discovering Statistics Brief Version by : Daniel T. Larose
Download or read book Discovering Statistics Brief Version written by Daniel T. Larose and published by Macmillan Higher Education. This book was released on 2010-06-11 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on Daniel Larose’s more comprehensive Discovering Statistics, this new text provides a briefer, less expensive option for the traditional computational introduction to statistics. It is an ideal text for instructors who want their students to understand computational methods, while also developing statistical reasoning and critical thinking skills.
Book Synopsis Using R for Introductory Statistics by : John Verzani
Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Book Synopsis The Official (ISC)2 Guide to the CCSP CBK by : Adam Gordon
Download or read book The Official (ISC)2 Guide to the CCSP CBK written by Adam Gordon and published by John Wiley & Sons. This book was released on 2016-05-16 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globally recognized and backed by the Cloud Security Alliance (CSA) and the (ISC)2 the CCSP credential is the ideal way to match marketability and credibility to your cloud security skill set. The Official (ISC)2 Guide to the CCSPSM CBK Second Edition is your ticket for expert insight through the 6 CCSP domains. You will find step-by-step guidance through real-life scenarios, illustrated examples, tables, best practices, and more. This Second Edition features clearer diagrams as well as refined explanations based on extensive expert feedback. Sample questions help you reinforce what you have learned and prepare smarter. Numerous illustrated examples and tables are included to demonstrate concepts, frameworks and real-life scenarios. The book offers step-by-step guidance through each of CCSP’s domains, including best practices and techniques used by the world's most experienced practitioners. Developed by (ISC)², endorsed by the Cloud Security Alliance® (CSA) and compiled and reviewed by cloud security experts across the world, this book brings together a global, thorough perspective. The Official (ISC)² Guide to the CCSP CBK should be utilized as your fundamental study tool in preparation for the CCSP exam and provides a comprehensive reference that will serve you for years to come.
Book Synopsis Introductory Statistics by : Neil A. Weiss
Download or read book Introductory Statistics written by Neil A. Weiss and published by Addison Wesley. This book was released on 2002 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt: Weiss Introductory Statistics is intended for a one- or two-semester introductory statistics course. Students learn the core statistical concepts in an applied setting, and can access more advanced topics (multiple regression, ANOVA, and Experimental Design) through chapters available on the WeissStat CD. With advances in technology and new insights into the practice of teaching statistics, the sixth edition can now easily fit the organization and pace of various course syllabi and technologies in use. The book offers a flexible organization of content and has a more diversified emphasis on using technology such as Minitab, the TI-83 Plus graphing calculator, Excel, and the Internet to investigate statistical problems. *NEW! All New Design. We have redesigned the text and now feature a four-color format for improved readability and understanding. *NEW! What Does It Mean? This feature, which appears throughout the book, presents the meaning and significance of the statistical results in plain, everyday language and emphasizes the importance of interpretation. *NEW! Technology Coverage. Students are introduced to technology at the section level with Minitab, Excel, and the TI-83 Plus
Book Synopsis Introductory Statistics 2e by : Barbara Illowsky
Download or read book Introductory Statistics 2e written by Barbara Illowsky and published by . This book was released on 2023-12-13 with total page 2106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Download or read book Think Stats written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2014-10-16 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data
Book Synopsis OpenIntro Statistics by : David Diez
Download or read book OpenIntro Statistics written by David Diez and published by . This book was released on 2015-07-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Book Synopsis Exploring General Chemistry in the Laboratory by : Colleen F. Craig
Download or read book Exploring General Chemistry in the Laboratory written by Colleen F. Craig and published by Morton Publishing Company. This book was released on 2017-02-01 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: This laboratory manual is intended for a two-semester general chemistry course. The procedures are written with the goal of simplifying a complicated and often challenging subject for students by applying concepts to everyday life. This lab manual covers topics such as composition of compounds, reactivity, stoichiometry, limiting reactants, gas laws, calorimetry, periodic trends, molecular structure, spectroscopy, kinetics, equilibria, thermodynamics, electrochemistry, intermolecular forces, solutions, and coordination complexes. By the end of this course, you should have a solid understanding of the basic concepts of chemistry, which will give you confidence as you embark on your career in science.
Book Synopsis Principles of Data Mining and Knowledge Discovery by : Jan Komorowski
Download or read book Principles of Data Mining and Knowledge Discovery written by Jan Komorowski and published by Springer Science & Business Media. This book was released on 1997-06-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.
Book Synopsis Elementary Statistics by : Neil A. Weiss
Download or read book Elementary Statistics written by Neil A. Weiss and published by Addison Wesley Publishing Company. This book was released on 2008 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary Statistics,Seventh Edition,is appropriate for someone learning introductory statistics who has experience with algebra. Elementary Statisticsis thorough and precise, and uses real data extensively. Readers find the book readable and clear, and they appreciate that the math level is right for a diverse population. The book thoroughly explains then illustrates concepts through an abundance of worked-out examples. The Nature of Statistics; Descriptive Statistics; Organizing Data; Descriptive Measures; Descriptive Methods in Regression and Correlation; Probability and Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Mean; Inferential Statistics; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Proportions; Chi-Square Procedures; Analysis of Variance (ANOVA); Inferential Methods in Regression and Correlation For all readers interested in Elementary Statistics
Book Synopsis Rough – Granular Computing in Knowledge Discovery and Data Mining by : J. Stepaniuk
Download or read book Rough – Granular Computing in Knowledge Discovery and Data Mining written by J. Stepaniuk and published by Springer. This book was released on 2009-01-29 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.
Book Synopsis Journal on Data Semantics VII by : Stefano Spaccapietra
Download or read book Journal on Data Semantics VII written by Stefano Spaccapietra and published by Springer. This book was released on 2006-11-23 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS Journal on Data Semantics is devoted to the presentation of notable work that addresses research and development on issues related to data semantics. Based on the publication platform Lecture Notes in Computer Science, this new journal is widely disseminated and available worldwide. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge.
Book Synopsis Methodologies for Knowledge Discovery and Data Mining by : Ning Zhong
Download or read book Methodologies for Knowledge Discovery and Data Mining written by Ning Zhong and published by Springer. This book was released on 2003-06-29 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.